Multicriteria decision analysis (MCDA) involves techniques which relatively recently have received great increase in interest for their capabilities of solving spatial decision problems. One of the most frequently used techniques of MCDA is Analytic Hierarchy Process (AHP). In the AHP, decision-makers make pairwise comparisons between different criteria to obtain values of their relative import...

Crisp values are insufficient to model real-life situations and imprecise ideas frequently represented in multicriteria decision aid analysis. In fact, it is difficult treat the evaluation criteria precisely fix exact preferences rating. The triangular intuitionistic fuzzy numbers succeeded this kind of ambiguity a great deal research than other forms representation functions. field sorting iss...

Abstract In the context of multi-criteria decision making every individual will act as a decision maker. The decision maker is involved in assigning preferences or weights to the alternatives. Goal programming will also come under the hub of MCDA, where the DM will assign the subjective weights to each goal. By giving so, the weighted sum of deviations will be minimized to some extent but one c...

A fusion system sometimes requires the capability to represent the temporal changes of uncertain sensory information in dynamic and uncertain situation. A Bayesian Network can construct a coherent fusion structure with the hypothesis node which cannot be observed directly and sensors through a number of intermediate nodes that are interrelated by cause and effect. In some BN applications for ob...

EU energy and climate policies continue to drive interest in biomass fuel pellets which can be produced from a wide variety of feedstock. The use multi-criteria decision analysis (MCDA) support feedstock selection has the potential for more transparent better decision-making. This study applies behavioural TOPSIS, prominent MCDA technique, rank Sweden under-utilised forest agricultural biomass....

GIS multicriteria decision analysis (MCDA) methods are increasingly being used in landslide susceptibility mapping for the prediction of future hazards, decision making, as well as hazard mitigation plans. However, the uncertainties associated with MCDA techniques are inevitable and model outcomes are prone to multiple types of uncertainty. In this paper, the spatiality explicitly method is emp...

Multicriteria decision analysis (MCDA) provides a well-established family of decision tools to aid stakeholder groups in arriving at collective decisions. MCDA can also function as a framework for the social learning process, serving as an educational aid in decision problems characterized by a high level of public participation. In this paper, the framework and results of a structured decision...

The global increase in renewable energy initiatives has been followed by the need to include social impact of any project as a core element. Significant challenges for development uncertainty assessing impacts at local scales, participation and acceptance. Multi-criteria decision analysis (MCDA) approaches have widely used planning address these challenges. This article reviews how criteria mec...

in the process of investment decision making, next to financial indicators many other aspects of investment projects are increasingly often considered. this leads to the multi-criteria evaluation of a project. the advantage of multi-criteria methods is the ability to take into account all (not only financial) aspects of the attractiveness of an investment project. the selection of criteria of p...